TOMO KIHARA / 木原 共

"How (not) to get hit by a self-driving car" is a game installation that challenges people to cross a virtual street undetected by an AI-powered self-driving car simulation. Players, each marked with a pedestrian detection score determined by the algorithm, must cleverly disguise themselves to reduce their score and avoid detection. Successful evasion exposes both the system's blindspots and inability to recognise diverse individuals, like children or wheelchair users, highlighting the risks posed by these flawed algorithms in real-world scenarios.

Each victory generates edge case data showcasing the AI's biases and flaws. Upon winning, players can choose to contribute the data to improve the model or delete it, raising questions about the trade-offs in developing these technologies. The project addresses geographical bias in AI data collection by organising global exhibitions to engage a wider range of demographics.